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arima2  

Likelihood Based Inference for ARIMA Modeling
View on CRAN: Click here


Download and install arima2 package within the R console
Install from CRAN:
install.packages("arima2")

Install from Github:
library("remotes")
install_github("cran/arima2")

Install by package version:
library("remotes")
install_version("arima2", "3.1.0")



Attach the package and use:
library("arima2")
Maintained by
Jesse Wheeler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-05
Latest Update: 2023-11-16
Description:
Estimating and analyzing auto regressive integrated moving average (ARIMA) models. The primary function in this package is arima(), which fits an ARIMA model to univariate time series data using a random restart algorithm. This approach frequently leads to models that have model likelihood greater than or equal to that of the likelihood obtained by fitting the same model using the arima() function from the 'stats' package. This package enables proper optimization of model likelihoods, which is a necessary condition for performing likelihood ratio tests. This package relies heavily on the source code of the arima() function of the 'stats' package. For more information, please see Jesse Wheeler and Edward L. Ionides (2023) .
How to cite:
Jesse Wheeler (2023). arima2: Likelihood Based Inference for ARIMA Modeling. R package version 3.1.0, https://cran.r-project.org/web/packages/arima2
Previous versions and publish date:
3.0.1 (2023-10-05 10:10)
Other packages that cited arima2 R package
View arima2 citation profile
Other R packages that arima2 depends, imports, suggests or enhances
Functions, R codes and Examples using the arima2 R package
Some associated functions: ARMApolyroots . aicTable . arima . miHuron_level . plot.Arima2 . profile.Arima2 . sample_ARMA_coef . 
Some associated R codes: ARMApolyroots.R . aicTable.R . arima.R . arima2-package.R . data.R . plot.R . profile.R . sample_ARMA_coef.R .  Full arima2 package functions and examples
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